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  • Python For Statistics

Python for Statistics Courses

Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.


Popular Python for Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    343 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Python for Security

    Skills you'll gain: Penetration Testing, Security Testing, Cybersecurity, Network Security, Brute-force attacks, TCP/IP, Network Monitoring, Vulnerability Assessments, Servers, Network Analysis, Network Protocols

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Python Scripting for DevOps

    Skills you'll gain: Containerization, File I/O, Package and Software Management, Unified Modeling Language, Matplotlib, Software Testing, Docker (Software), Development Environment, Unit Testing, Test Automation, Continuous Integration, Data Manipulation, Pandas (Python Package), Scripting, Data Modeling, DevOps, Programming Principles, Python Programming, Data Structures, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    209 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Python Scripting for DevOps

    Skills you'll gain: Scripting, Scripting Languages, Python Programming, Computer Programming Tools, Devops Tools, Data Structures, Programming Principles, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Python for Active Defense

    Skills you'll gain: Cyber Threat Hunting, Threat Detection, Endpoint Detection and Response, Cyber Security Strategy, System Monitoring, Cybersecurity, Continuous Monitoring, Network Security, Network Monitoring, Python Programming, Anomaly Detection, Scripting, Scripting Languages

    4.5
    Rating, 4.5 out of 5 stars
    ·
    84 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Fundamentals for Designers

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Software Design, Computer Programming, Computational Thinking, File I/O, Data Structures, Animations

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Codio

    Go for Python Developers

    Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Web Services, Web Frameworks, Debugging, Python Programming, Restful API, Dependency Analysis, Performance Tuning, Software Engineering

    3.6
    Rating, 3.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python for statistics courses

  • Python Essentials for MLOps: Duke University
  • Python for Security: Packt
  • Python Scripting for DevOps: LearnQuest
  • Llama for Python Programmers: University of Michigan
  • Statistics You Need to Know for Machine Learning: SAS
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Python Scripting for DevOps: Coursera
  • Python for Active Defense: Infosec
  • Python Fundamentals for Designers: University of Michigan
  • Regression Analysis for Statistics & Machine Learning in R: Packt

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